We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Detecto

Download Mobile App




Events

ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.
16 Feb 2023 - 18 Feb 2023

AI Renal Care Solution Identifies High- or Low-Risk Patients and Recommends Actions for Treatment and Care

By HospiMedica International staff writers
Posted on 18 Mar 2022
Print article
Image: AI solution classifies, tracks and monitors renal care patients through disease states (Photo courtesy of Pexels)
Image: AI solution classifies, tracks and monitors renal care patients through disease states (Photo courtesy of Pexels)

An AI renal solution with deep learning models has the ability to classify, track, and transition renal patients through disease states and provide recommended actions for treatment and care.

The AI solution developed by SambaNova Systems (Palo Alto, CA, USA) and DeLorean Artificial Intelligence (New York, NY, USA) could significantly advance renal care and has been chosen by Ascend Clinical (Redwood City, CA, USA) to improve patient care.

The DeLorean AI Medical Renal Model running on SambaNova’s platform ingests both structured and unstructured data from internal sources (Ascend or dialysis centers) and external sources like medical records, lab results, previous claims and procedural data. The AI model predicts if a patient will be high- or low-risk and then recommends the next best action for a healthcare professional. This is the first solution on the market to accurately predict risk, provide next best actions, and empower nursing management to hold caregivers accountable for their quality of care.

The financial implications of the AI model are significant, including decreased operating costs and a better customer experience for patients, resulting in a STAR Rating increase, Quality Bonus Payments (QBP), increased CMS Pay 4 Quality (P4Q) and increased revenue. Most importantly, patients benefit from a better quality of life and an extended lifespan. The DeLorean/SambaNova AI solution is subscription-based, can be hosted in the cloud or on-premises, and is extensible to other areas of the business. Labs can deploy the solution for tracking states like diabetes, heart disease or cancer.

“SambaNova and DeLorean’s medical AI solution is revolutionary — we’re bringing AI to an industry that truly needs it,” said Severence MacLaughlin, Ph.D, CEO and founder at DeLorean Artificial Intelligence. “The solution will provide Ascend customers with value-based care by providing them with precise classifications - faster - and timely treatment recommendations along their patient journey.”

“The DeLorean/SambaNova AI solution provides for improved value-based care with AI and has the ability to significantly improve patient outcomes," said Rodrigo Liang, CEO and co-founder of SambaNova Systems. "We're pleased to work with DeLorean AI and Ascend to showcase how AI technology can truly revolutionize the renal care industry."

“We are committed to providing world-class care to our patients, so our laboratories need the most innovative technology," said Paul F. Beyer, CEO of Ascend. “We’re looking forward to advancing our AI initiatives to provide a higher level of precision and improve our customers’ insights into their own data.”

Related Links:
SambaNova Systems 
DeLorean Artificial Intelligence 
Ascend Clinical 

Gold Supplier
12-Channel ECG
CM1200B
New
Analgesic Gas Delivery System
O-Two Equinox Advantage
New
Memory Foam Mattress
MM-59
New
Portable Finger Pulse Oximeter
Onyx Vantage 9590

Print article

Channels

AI

view channel
Image: A novel research study moves the needle on predicting coronary artery disease (Photo courtesy of Pexels)

AI-Enabled ECG Analysis Predicts Heart Attack Risk Nearly as well as CT Scans

Increased coronary artery calcium is a marker of coronary artery disease that can lead to a heart attack. Traditionally, CT scans are used to diagnose buildup of coronary artery calcium, although CT scanners... Read more

Critical Care

view channel
Image: The advanced electronic skin could enable multiplex healthcare monitoring (Photo courtesy of Terasaki Institute)

First-of-Its-Kind Electronic Skin Patch Enables Advanced Health Care Monitoring

For some time now, electronic skin (E-skin) patches have been used to monitor bodily physiological and chemical indicators of health. Such monitors, placed on the skin, are capable of measuring various... Read more

Surgical Techniques

view channel
Image: The neuro-chip with soft implantable electrodes could manage brain disorders (Photo courtesy of EPFL)

Implantable Neuro-Chip Uses Machine Learning Algorithm to Detect and Treat Neurological Disorders

Using a combination of low-power chip design, machine learning algorithms, and soft implantable electrodes, researchers have produced a neural interface that can identify and suppress symptoms of different... Read more

Health IT

view channel
Image: Using digital data can improve health outcomes (Photo courtesy of Unsplash)

Electronic Health Records May Be Key to Improving Patient Care, Study Finds

When a patient gets transferred from a hospital to a nearby specialist or rehabilitation facility, it is often difficult for personnel at the new facility to access the patient’s electronic health records... Read more

Point of Care

view channel
Image: Steripath improves the diagnostic accuracy and timeliness of sepsis test results (Photo courtesy of Magnolia)

All-in-One Device Reduces False-Positive Diagnostic Test Results for Bloodstream Infections

Blood cultures are considered the gold standard diagnostic test for the detection of blood stream infections, such as sepsis. However, positive blood culture results can be frequently wrong, and about... Read more

Business

view channel
Image: Researchers expect broader adoption of AI in healthcare in the near future (Photo courtesy of Pexels)

Artificial Intelligence (AI) Could Save U.S. Healthcare Industry USD 360 Billion Annually

The wider adoption of artificial intelligence (AI) in healthcare could save the U.S. up to USD 360 billion annually although its uptake in the industry is presently limited owing to the absence of trust... Read more
Copyright © 2000-2023 Globetech Media. All rights reserved.